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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 2 new columns ({'Age', 'Location'}) and 2 missing columns ({'Book-Rating', 'ISBN'}). This happened while the csv dataset builder was generating data using hf://datasets/wykonos/books/Users.csv (at revision acd6c85ae528756419fd14332001395f394a6858) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast User-ID: int64 Location: string Age: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 597 to {'User-ID': Value(dtype='int64', id=None), 'ISBN': Value(dtype='string', id=None), 'Book-Rating': Value(dtype='int64', id=None)} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 2 new columns ({'Age', 'Location'}) and 2 missing columns ({'Book-Rating', 'ISBN'}). This happened while the csv dataset builder was generating data using hf://datasets/wykonos/books/Users.csv (at revision acd6c85ae528756419fd14332001395f394a6858) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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User-ID
int64 | ISBN
string | Book-Rating
int64 |
---|---|---|
276,725 | 034545104X | 0 |
276,726 | 0155061224 | 5 |
276,727 | 0446520802 | 0 |
276,729 | 052165615X | 3 |
276,729 | 0521795028 | 6 |
276,733 | 2080674722 | 0 |
276,736 | 3257224281 | 8 |
276,737 | 0600570967 | 6 |
276,744 | 038550120X | 7 |
276,745 | 342310538 | 10 |
276,746 | 0425115801 | 0 |
276,746 | 0449006522 | 0 |
276,746 | 0553561618 | 0 |
276,746 | 055356451X | 0 |
276,746 | 0786013990 | 0 |
276,746 | 0786014512 | 0 |
276,747 | 0060517794 | 9 |
276,747 | 0451192001 | 0 |
276,747 | 0609801279 | 0 |
276,747 | 0671537458 | 9 |
276,747 | 0679776818 | 8 |
276,747 | 0943066433 | 7 |
276,747 | 1570231028 | 0 |
276,747 | 1885408226 | 7 |
276,748 | 0747558167 | 6 |
276,748 | 3442437407 | 0 |
276,751 | 033390804X | 0 |
276,751 | 3596218098 | 8 |
276,754 | 0684867621 | 8 |
276,755 | 0451166892 | 5 |
276,760 | 8440682697 | 10 |
276,762 | 034544003X | 0 |
276,762 | 0380000059 | 0 |
276,762 | 0380711524 | 5 |
276,762 | 0451167317 | 0 |
276,762 | 0451454952 | 0 |
276,762 | 0843920262 | 0 |
276,762 | 3404122879 | 0 |
276,762 | 3404182928 | 0 |
276,762 | 3404611306 | 0 |
276,762 | 342662429 | 0 |
276,762 | 3426690179 | 0 |
276,762 | 3442424216 | 0 |
276,762 | 3442425573 | 0 |
276,762 | 3453092007 | 8 |
276,762 | 3453157745 | 0 |
276,762 | 3453176944 | 0 |
276,762 | 3453185137 | 0 |
276,762 | 3453185323 | 0 |
276,762 | 3453213025 | 3 |
276,762 | 3453877241 | 0 |
276,762 | 3492226604 | 0 |
276,762 | 3517017442 | 0 |
276,762 | 3596125006 | 0 |
276,762 | B0000BLD7X | 0 |
276,762 | N3453124715 | 4 |
276,765 | 9029716894 | 0 |
276,768 | 9057868059 | 4 |
276,772 | 0140279091 | 0 |
276,772 | 0553572369 | 7 |
276,772 | 0571058086 | 0 |
276,772 | 3499230933 | 10 |
276,772 | 3596151465 | 10 |
276,774 | 0099543818 | 0 |
276,774 | 3404147723 | 0 |
276,774 | 3423111321 | 0 |
276,774 | 3442136644 | 9 |
276,774 | 3492232000 | 0 |
276,780 | 8434811634 | 0 |
276,780 | 8484330478 | 7 |
276,780 | 8484332039 | 7 |
276,786 | 2864322102 | 6 |
276,786 | 8402065945 | 0 |
276,786 | 8423314901 | 0 |
276,786 | 842333533X | 0 |
276,786 | 8427911769 | 0 |
276,786 | 8433914456 | 0 |
276,786 | 8437606322 | 8 |
276,786 | 8445072919 | 0 |
276,786 | 8466300821 | 6 |
276,786 | 847765011X | 0 |
276,786 | 8478442588 | 6 |
276,786 | 8495368099 | 0 |
276,788 | 0345443683 | 8 |
276,788 | 043935806X | 7 |
276,788 | 055310666X | 10 |
276,796 | 0330332775 | 5 |
276,796 | 0330367358 | 0 |
276,798 | 0006379702 | 5 |
276,798 | 3423084049 | 0 |
276,798 | 3442131340 | 7 |
276,798 | 3442437407 | 0 |
276,798 | 3446202102 | 0 |
276,798 | 3453073398 | 0 |
276,798 | 3453115783 | 0 |
276,798 | 3499134004 | 0 |
276,798 | 349915398X | 0 |
276,798 | 3548603203 | 6 |
276,798 | 3764501383 | 0 |
276,798 | 3791535889 | 0 |
End of preview.
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